Triple

T3669846
Position Surface form Disambiguated ID Type / Status
Subject Gilaki E77850 entity
Predicate hasAlternativeName P39 FINISHED
Object Gilaki language E77850 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gilaki language | Statement: [Gilaki, hasAlternativeName, Gilaki language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilaki language
Context triple: [Gilaki, hasAlternativeName, Gilaki language]
  • A. Gilaki chosen
    Gilaki is an Iranian language spoken primarily in Iran’s Gilan Province along the Caspian Sea coast.
  • B. Mazanderani language
    Mazanderani language is a Northwestern Iranian language spoken primarily along Iran’s southern Caspian Sea coast, especially in Mazandaran Province.
  • C. Tabriz dialect
    Tabriz dialect is a prominent regional variety of the Azerbaijani language spoken in and around the city of Tabriz in northwestern Iran, known for its distinctive phonetic and lexical features.
  • D. Achomi language
    Achomi language is a Southwestern Iranian language spoken primarily by the Achomi people in southern Iran and parts of the Persian Gulf region.
  • E. Urmia dialect
    The Urmia dialect is a prominent variety of Assyrian Neo-Aramaic traditionally spoken by Assyrian communities in and around the city of Urmia in northwestern Iran.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42b3f94819091d51e488bc3f2f2 completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48850515c8190bdb9ddcfc0a13f4e completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:25 p.m.